Often overlooked as a component of urban development, accessibility infrastructure is undeniably crucial in daily life. Accessibility ramps are one of the most common types of accessibility infrastructure, and serve to benefit not only people with mobile impairments but also able-bodied third parties. While the necessity of accessibility ramps is acknowledged, actual implementation fails in light of the limits of manpower required for the design stage. In response, we present an algorithm capable of the automatic generation of a feasible accessibility ramp based on a 3D model of the relevant environment. Through the manual specification of initial and terminal points within a 3D model, the algorithm uses AI search algorithms to determine the optimal pathway connecting these points. Essential components in devising a wheelchair-accessible ramp are encoded within the process, as evaluated by the algorithm, including but not limited to elevation differentials, spatial constraints, and gradient specifications. From this, the algorithm then generates the pathway to be expanded into a full-scale, usable model of a ramp, which then can be easily exported and transformed through inter-software exchanges. Though some human input is still required following the generation stage, the minimising of human resources provides significant boosts of efficiency in the design process thus lowering the threshold for the incorporation of accessibility features in future urban design.

通过基于相关环境的三维模型进行自动生成的算法，设计了一种轮椅无障碍坡道，以解决设计阶段的人力限制的问题，并提高未来城市设计中无障碍功能的整合门槛。

Grasshopper / Rhinoceros 7 中生成三维无障碍坡道的人工智能算法